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SAR Imaging System Uncertainty Theory Analysis Based On Mechanism

机译:基于机理的SAR成像系统不确定性理论分析

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摘要

Presently, most of methods to resolve errors and the error propagation model in Synthetic Aperture Radar imaging and recognition is based on statistic model. The disadvantages are that statistic model is a descriptive method and it answers only the values of errors and the relationship between them, don't answer why to cause these errors. For controlling SAR image quality better, we propose one kind of error propagation model in SAR imaging and recognition which is based on mechanism model. It is very important value to data quality control and inversion of remote sensing information.
机译:目前,合成孔径雷达成像和识别中大多数的误差解决方法和误差传播模型都是基于统计模型的。缺点是统计模型是一种描述性方法,它仅回答错误的值及其之间的关系,而不回答为什么导致这些错误。为了更好地控制SAR图像质量,提出了一种基于机理模型的SAR成像和识别误差传播模型。这对数据质量控制和遥感信息反演具有非常重要的价值。

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